Senior Software Specialist - Ai/ml - Monetisation

Meta · Big Tech · London, United Kingdom

Meta's Core Delivery Products team is seeking a Senior Software Specialist in AI/ML to build and enhance AI/ML products for their ads system, focusing on targeting, bidding, optimization, and user quality. The role involves applying AI/ML techniques to ads auction and user behavior, developing novel algorithms, and bringing research into production for large-scale applications. Responsibilities include contributing to experiments, developing foundation models, and designing infrastructure to advance AI capabilities. Requires experience in Python, PyTorch/C++, bringing research to production, and training/fine-tuning foundation models, with a preference for a PhD and experience in RL, GenAI, LLMs, user behavior modeling, or ads auction theory.

What you'd actually do

Apply relevant AI and machine learning techniques to build Ads auction/user behaviour treatments
Develop novel, accurate AI algorithms and advanced systems for large scale applications
Work towards long-term ambitious production goals, while identifying intermediate milestones
Directly contribute to experiments, including designing experimental details, developing reusable code, running evaluations, and organizing results
Work with large data, and contribute to development of large scale foundation models

Skills

Required

Experience developing machine learning algorithms or machine learning infrastructure in Python, PyTorch, and/or C/C++
Bachelor's degree in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experience
Experience in bringing research results into production
Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use

Nice to have

PhD in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experience
Experience in Reinforcement Learning, GenAI, Large Language Models, etc
Experience in User Behavior modeling, Long-term Value optimization, or Causal Learning
Experience in Ads, especially in auction theory and implementation (bidding, budgeting, targeting)

What the JD emphasized

bringing research results into production
Track record delivering successful products with large scale impact

Other signals

Ads auction/user behaviour treatments
large scale applications
long-term ambitious production goals
large scale foundation models
advance AI capabilities

Read full job description

Core Delivery Products is the Ads pillar that builds the products that power the core capabilities of our ads system: from targeting, to bidding, optimization, and user quality. The team has a strong and long-standing track record of making critical contributions to company top line goals with most of Meta revenue flowing through these core systems, and our year on year improvements continuing to drive significant top-line impact. In EMEA, we have 3 complete sub-pillars operating with high autonomy: Targeting, Core Ads Quality, & Direct Response Optimization. All the sub-pillars are responsible for growing revenue, machine learning product solutions end to end, alongside the reliability and stability of these core products. All have their cross functional teams co-located with them.

Responsibilities

Apply relevant AI and machine learning techniques to build Ads auction/user behaviour treatments Develop novel, accurate AI algorithms and advanced systems for large scale applications Work towards long-term ambitious production goals, while identifying intermediate milestones Directly contribute to experiments, including designing experimental details, developing reusable code, running evaluations, and organizing results Work with large data, and contribute to development of large scale foundation models Design methods, tools, and infrastructure to advance AI capabilities through novel methods, tools, and infrastructure

Qualifications

Experience developing machine learning algorithms or machine learning infrastructure in Python, PyTorch, and/or C/C++ Bachelor's degree in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experience Experience in bringing research results into production Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use Track record delivering successful products with large scale impact PhD in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experience Experience in Reinforcement Learning, GenAI, Large Language Models, etc Experience in User Behavior modeling, Long-term Value optimization, or Causal Learning Experience in Ads, especially in auction theory and implementation (bidding, budgeting, targeting)